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BOX-COX TRANSFORMATION APPROACH FOR DATA NORMALIZATION: A STUDY OF NEW PRODUCT DEVELOPMENT IN MANUFACTURING SECTOR OF PAKISTAN

Fozia Malik (), Ph.D AjmalWaheed Khan () and Muhammad Tahir Ali Shah ()
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Fozia Malik: Ph.D Scholar, Quaid-i-Azam School of Management Sciences Quaid-i-Azam University Islamabad
Ph.D AjmalWaheed Khan: Professor, Quaid-i-Azam School of Management Sciences Quaid-i-Azam University Islamabad
Muhammad Tahir Ali Shah: AllamaIqbal Open University Islamabad

IBT Journal of Business Studies (JBS), 2018, vol. 14, issue 1, 14-9

Abstract: The aim of this paper is the application of Box-Cox transformation approach for data normalization. It is mostly noticed that in social science research discipline the data is not normally distributed which can cause various problems for researchers. These problems are related to decisions which statistical tools should apply in case of non-normality of data. A data set using two independent variables; (i) internal resources, (ii) external resources, one mediating variable which is new product development process and one dependent variable namely new product success from manufacturing sector of Pakistan is utilized to analyze normality of data through the Shapiro-Wilk statistics. When it was analyzed that data is not normal than box-cox transformation approach was employed. It was noticed that applyingafter box-cox transformation data was normal which can be utilized for further statisticalanalysis. Therefore, this paper contributes in suggesting statistical technique, for example, Box-Cox Transformation approach (Box & Cox, 1964) can be used for normalizing data. Theresearch scholars can gain insight from this research regarding the procedure of Box-CoxTransformation approach.

Keywords: Box-Cox Transformation approach; Data Normalization; Shapiro-Wilk Test; New Product Development; Manufacturing Sector (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:aib:ibtjbs:v:14:y:2018:i:1:p:14-9

DOI: 10.46745/ilma.ibtjbs.2018.141.09

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